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Title: Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid

Abstract

The power grid has been evolving over the last 120 years, but it is seeing more changes in this decade and next than it has seen over the past century. In particular, the widespread deployment of intermittent renewable generation, smart loads and devices, hierarchical and distributed control technologies, phasor measurement units, energy storage, and widespread usage of electric vehicles will require fundamental changes in methods and tools for the operation and planning of the power grid. The resulting new dynamic and stochastic behaviors will demand the inclusion of more complexity in modeling the power grid. Solving such complex models in the traditional computing environment will be a major challenge. Along with the increasing complexity of power system models, the increasing complexity of smart grid data further adds to the prevailing challenges. In this environment, the myriad of smart sensors and meters in the power grid increase by multiple orders of magnitude, so do the volume and speed of the data. The information infrastructure will need to drastically change to support the exchange of enormous amounts of data as smart grid applications will need the capability to collect, assimilate, analyze and process the data, to meet real-time grid functions. High performancemore » computing (HPC) holds the promise to enhance these functions, but it is a great resource that has not been fully explored and adopted for the power grid domain.« less

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1361965
Report Number(s):
PNNL-SA-126519
Journal ID: ISSN 1949-3053; TE1103000
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Smart Grid; Journal Volume: 8; Journal Issue: 3
Country of Publication:
United States
Language:
English

Citation Formats

Huang, Zhenyu Henry, Tate, Zeb, Abhyankar, Shrirang, Dong, Zhaoyang, Khaitan, Siddhartha, Min, Liang, and Taylor, Gary. Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid. United States: N. p., 2017. Web. doi:10.1109/TSG.2017.2690478.
Huang, Zhenyu Henry, Tate, Zeb, Abhyankar, Shrirang, Dong, Zhaoyang, Khaitan, Siddhartha, Min, Liang, & Taylor, Gary. Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid. United States. doi:10.1109/TSG.2017.2690478.
Huang, Zhenyu Henry, Tate, Zeb, Abhyankar, Shrirang, Dong, Zhaoyang, Khaitan, Siddhartha, Min, Liang, and Taylor, Gary. Mon . "Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid". United States. doi:10.1109/TSG.2017.2690478.
@article{osti_1361965,
title = {Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid},
author = {Huang, Zhenyu Henry and Tate, Zeb and Abhyankar, Shrirang and Dong, Zhaoyang and Khaitan, Siddhartha and Min, Liang and Taylor, Gary},
abstractNote = {The power grid has been evolving over the last 120 years, but it is seeing more changes in this decade and next than it has seen over the past century. In particular, the widespread deployment of intermittent renewable generation, smart loads and devices, hierarchical and distributed control technologies, phasor measurement units, energy storage, and widespread usage of electric vehicles will require fundamental changes in methods and tools for the operation and planning of the power grid. The resulting new dynamic and stochastic behaviors will demand the inclusion of more complexity in modeling the power grid. Solving such complex models in the traditional computing environment will be a major challenge. Along with the increasing complexity of power system models, the increasing complexity of smart grid data further adds to the prevailing challenges. In this environment, the myriad of smart sensors and meters in the power grid increase by multiple orders of magnitude, so do the volume and speed of the data. The information infrastructure will need to drastically change to support the exchange of enormous amounts of data as smart grid applications will need the capability to collect, assimilate, analyze and process the data, to meet real-time grid functions. High performance computing (HPC) holds the promise to enhance these functions, but it is a great resource that has not been fully explored and adopted for the power grid domain.},
doi = {10.1109/TSG.2017.2690478},
journal = {IEEE Transactions on Smart Grid},
number = 3,
volume = 8,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}